The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Causes of Cancer in the World: Comparative Risk Assessment of Nine Behavioral and Environmental Risk Factors
Open accessAbstract
Some malignancies have very few technologies available for screening, and advancements in cancer therapy have not been as effective in lowering death as those for other chronic diseases. The major method for decreasing cancer incidence is primary avoidance through dietary and environmental changes. The potentially reversible risk factors were projected to be responsible for cancer-related mortality worldwide. Of these fatalities, many of the cases occurred in high-income nations, whereas very few cases did so in low- and middle-income countries. Risk factors in Europe and Central Asia were responsible for the majority of cancer mortality in low- and middle-income regions. Smoking, drinking alcohol, and eating few fruits and vegetables were some of the primary factors that contributed to cancer mortality both globally and in low- and middle-income countries. In high-income countries, alcohol consumption, smoking, and obesity were the main cancer-causing factors. The sexual transmission of the human papillomavirus is one of the leading risk factors for cervical cancer in women in low- and middle-income countries.
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1 retracted
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The Causes of Cancer: Quantitative Estimates of Avoidable Risks of Cancer in the United States Today
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Metadata
- Authors
- Ansari, K. K., & Jha, A.
- Venue
- Cureus
- Published
- 2022-09-07
- Volume
- 14
- Issue
- 9
- Pages
- e28875-e28875
- ISSN
- 2168-8184 (ISSN-L)
- OpenAlex
- W4294876382
- Cited by
- 308
- References
- 42
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- diamond
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.